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Design and Implementation of Cattle Behavior Detection System based on Internet of Things

사물 인터넷 기반 소 행동 특성 관찰 시스템 설계 및 구현

  • Lee, Ha-Woon (Dept. of Electric Railway Convergence Science, Dongyang University)
  • 이하운 (동양대학교 철도전기융합학과)
  • Received : 2017.09.25
  • Accepted : 2017.12.15
  • Published : 2017.12.31

Abstract

Cattle behavior detection system based on Internet of Things is designed and implemented by using gyroscope and acceleration sensor, Arduino pro-mini and bluetooth module. The implemented system measures cattle's moving and the measured data are transmitted to smart phone by bluetooth module. They are displayed by 2-dimensional graph on the smart phone and the number of cattle's step are calculated from the graph. The detected and gathered data from the system are analyzed by the proposed algorithm to decide which cows are in the estrus or not, and the proposed system can be used to increase the success rate of artificial insemination in normal estrus by detecting cow's behaviors such as the number of steps and jumping. In this paper, the implemented cattle behavior detecting system are strapped on cattle's leg and it measures cattle behaviors for determining that a cattle is estrus or not by the proposed algorithm. In the future research, the system which lengthens communication distance and increases the number of cattle under the test will be considered and also the measured data will be database for cattle research.

가속도 및 자이로 센서, 아두이노 프로 미니와 블루투스 모듈을 이용하여 사물인터넷 기반의 소 행동 특성을 관찰할 수 있는 시스템을 설계하고 구현하였다. 구현된 시스템을 통해 소의 움직임을 관찰하고 측정하였으며, 측정된 데이터를 블루투스 모듈을 통해 스마트폰으로 전송하여 스마트 폰에서 소의 움직임 변화를 그래프를 통해 나타내었으며 이를 통해 소의 걸음 수를 측정하도록 하였다. 구현된 시스템과 제안한 알고리듬에 의해 소의 발정 상태를 판단하며, 이는 소의 인공수정에 의한 번식력 향상에 도움을 줄 수 있다. 본 논문에서 구현된 시스템을 실제 소의 다리에 부착하여 데이터를 측정하고, 제안한 알고리듬에 의해 발정 유무를 판단하였다. 향후 연구 과제로 피 측정되는 소의 개체수와 통신 거리를 늘려 축산 농가에서 좀 더 효율적으로 사용할 수 있는 시스템 연구 및 측정 데이터의 데이터베이스화를 하고자 한다.

Keywords

References

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